Introduction to Artificial Intelligence (AI)

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About Course

Course overview

A beginner-friendly introduction to artificial intelligence, machine learning, generative AI, prompting, practical applications, limitations, and responsible everyday use.

What you will learn

  • Explain AI, machine learning, and generative AI clearly
  • Choose suitable AI tasks for work or business
  • Write structured prompts for better results
  • Review AI output for accuracy, bias, and relevance
  • Protect privacy and use AI responsibly
  • Run and measure a small 14-day AI pilot

Who this course is for

  • Business owners and entrepreneurs
  • Employees using digital tools
  • Marketers, writers, and content creators
  • Students and career changers
  • Anyone seeking a clear introduction to AI

Prerequisites

  • Basic computer and internet skills
  • Access to one AI assistant for practice
  • One real task to improve
  • No coding or mathematics required
  • No previous AI experience needed

How to use the course

Work through the lessons in order, apply every exercise to a real project, and use the workbook to record evidence and decisions. Finish with the audit and action plan before measuring results.

Complete lesson edition

This course includes 18 written lessons, practical exercises, worked examples, and answer guidance. The complete PDF contains every written lesson. Download the full edition and any accompanying workbooks or toolkits from My Account > Downloads using the account that purchased this course.

Design and evaluate one bounded AI-assisted business task with approved facts, human review, and a measured value calculation.

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What Will You Learn?

  • Explain AI, machine learning, and generative AI clearly
  • Choose suitable AI tasks for work or business
  • Write structured prompts for better results
  • Review AI output for accuracy, bias, and relevance
  • Protect privacy and use AI responsibly
  • Run and measure a small 14-day AI pilot

Course Content

Module 1: What artificial intelligence really means
<p>Build a clear vocabulary for understanding AI without technical complexity.</p>

  • AI in everyday language
  • AI versus machine learning
  • Generative AI and common examples

Module 2: How modern AI tools work
<p>Understand how data, models, prompts, and generated responses fit together.</p>

Module 3: Useful AI applications
<p>Identify practical, low-risk ways AI can support everyday work and business tasks.</p>

Module 4: Prompting for better results
<p>Give AI clearer instructions and improve responses through structured follow-up.</p>

Module 5: Safe and responsible AI use
<p>Protect information and apply human judgment to accuracy, fairness, rights, and important decisions.</p>

Module 6: Your first practical AI workflow
<p>Turn one suitable task into a controlled, measurable 14-day AI experiment.</p>

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